{"id":"W235865695","doi":"10.1007/978-1-59259-719-2_22","title":"Electrophoretic and Mass Spectrometric Strategies for the Identification of Lipopolysaccharides and Immunodeterminants in Pathogenic Strains of Haemophilus influenzae; Application to Clinical Isolates","year":2000,"lang":"en","type":"book-chapter","venue":"Humana Press eBooks","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Phosphocholine; Chemistry; Mass spectrometry; Haemophilus influenzae; Chromatography; Population; Neuraminic acid; Capillary electrophoresis; Tandem mass spectrometry; Biochemistry; Sialic acid; Membrane; Phospholipid","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008550109,0.0009053797,0.0002895209,0.001168776,0.0003285912,0.000558058,0.000655517,0.001046436,0.000498065],"category_scores_gemma":[0.001422526,0.0002815628,0.0001716457,0.0005353165,0.000760994,0.0003958164,0.0004281056,0.0006188375,0.0002830307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241882,"about_ca_system_score_gemma":0.0005236167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009303657,"about_ca_topic_score_gemma":0.001364672,"domain_scores_codex":[0.9992398,0.0002133802,0.00005135126,0.0001190469,0.0003288022,0.00004770778],"domain_scores_gemma":[0.9992888,0.0002191582,0.0001417359,0.00003809242,0.0002074533,0.0001048273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008067486,0.0000298659,0.0006320119,0.0000918165,0.00001183748,0.0001275715,0.00003654097,0.0001111181,0.988668,0.0001233251,0.000049428,0.01003775],"study_design_scores_gemma":[0.00003443442,0.0007098061,0.009973703,0.00003505753,0.00005695051,0.00550957,0.0001561241,0.006916064,0.9713329,0.0003784372,0.004845831,0.00005110925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7193524,0.02853158,0.2455488,0.0009717485,0.0002392188,0.0007018911,0.0005952228,0.0009555214,0.003103636],"genre_scores_gemma":[0.7332247,0.006801462,0.2574444,0.0004335729,0.0000977333,0.0002621562,0.0003998304,0.00005321015,0.001282997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001168776,"threshold_uncertainty_score":0.004521787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841141184139849,"score_gpt":0.3251891950262797,"score_spread":0.2867777831848812,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}